The planning of safe paths is an important issue for autonomous robot systems. The
Probabilistic Foam method (PFM) is a planner that guarantees safe paths bounded by a …

This paper presents an approach to simplify the path planning for an active orthosis through
the application of the Probabilistic Foam Method. In this method, a structure called …

Abstract The Probabilistic Foam method (PFM) is a path planner that ensures a volumetric
region for safe maneuverability called bubble. This method generates paths bounded by a …

This paper presents an improved variation of Probabilistic Foam Method (PFM) for robot
path planning. In PFM, a structure named probabilistic foam, formed by bubbles propagate …

The walking experience in environments with obstacles is a challenge for patients with lower
limb pathology. A transparent exoskeleton is an interesting solution since it guarantees the …

Global path planning is one of the most important issues for multi-robot systems because it
ensures the computation of feasible paths for the robots to perform safe movements inside …

Planejar um caminho para que um robô navegue entre dois pontos em um dado ambiente,
sem colidir com obstáculos, é um dos principais problemas no âmbito da robótica …

O Planejamento de Caminho é um dos processos fundamentais da robótica autônoma dado
que planejadores são métodos computacionais capazes de calcular um conjunto de poses …

Online planning and replanning methods are commonly used in unknown or dynamic
environments to ensure path safety. In this paper, we proposed a novel local path …

In this thesis, we propose a new motion planning method to robustly and computationally
efficiently solve (probabilistic) coverage, path planning, and navigation problems for …